Press release
Automotive LiDAR Market to Hit at 30.3% CAGR, Reaching USD 1.83 billion by 2028
As per the report published by Allied Market Research, the global automotive LiDAR market generated $221.7 million in 2020, and is anticipated to garner $1.83 billion by 2028, registering a CAGR of 30.3% from 2021 to 2028.๐ฐ ๐๐จ๐ฐ๐ง๐ฅ๐จ๐๐ ๐๐๐ฆ๐ฉ๐ฅ๐ ๐๐๐ ๐๐ฌ - https://www.alliedmarketresearch.com/request-sample/2870
Development of semi-autonomous and autonomous vehicles, surge in investment and funding in LiDAR startups, and growing emphasis from the governments for ADAS incorporated vehicles have boosted the growth of the global automotive LiDAR market. However, high cost of LiDAR system, environmental constraints, and optical vulnerability hinder the market growth. On the contrary, advent of 4D LiDAR and rapid technological advancements in automotive LiDAR is expected to open new opportunities for the market players in the future.
Lidar systems map out their environments by sending laser pulses outward. When the pulse contacts an object or obstacle, it reflects or bounces back to the lidar unit. The system then receives the pulse and calculates the distance between it and the object, based on the elapsed time between emitting the pulse and receiving the return beam. Lidar does this rapidly, with some emitting millions of pulses per second. As the beams return to the system, it begins forming a picture of what's going on in the world around the vehicle and can use computer algorithms to piece together shapes for cars, people, and other obstacles.
Lidar systems map out their environments by sending laser pulses outward. When the pulse contacts an object or obstacle, it reflects or bounces back to the lidar unit. The system then receives the pulse and calculates the distance between it and the object, based on the elapsed time between emitting the pulse and receiving the return beam. Lidar does this rapidly, with some emitting millions of pulses per second. As the beams return to the system, it begins forming a picture of what's going on in the world around the vehicle and can use computer algorithms to piece together shapes for cars, people, and other obstacles.
๐ฐ ๐๐ง๐ญ๐๐ซ๐๐ฌ๐ญ๐๐ ๐ญ๐จ ๐๐ซ๐จ๐๐ฎ๐ซ๐ ๐ญ๐ก๐ ๐๐๐ฌ๐๐๐ซ๐๐ก ๐๐๐ฉ๐จ๐ซ๐ญ? ๐๐ง๐ช๐ฎ๐ข๐ซ๐ ๐๐๐๐จ๐ซ๐ ๐๐ฎ๐ฒ๐ข๐ง๐ -https://www.alliedmarketresearch.com/purchase-enquiry/2870
๐๐ก๐ ๐ซ๐๐ฉ๐จ๐ซ๐ญ ๐ฌ๐๐ ๐ฆ๐๐ง๐ญ๐ฌ ๐ญ๐ก๐ ๐ ๐ฅ๐จ๐๐๐ฅ ๐๐ฎ๐ญ๐จ๐ฆ๐จ๐ญ๐ข๐ฏ๐ ๐๐ข๐๐๐ ๐ฆ๐๐ซ๐ค๐๐ญ ๐จ๐ง ๐ญ๐ก๐ ๐๐๐ฌ๐ข๐ฌ ๐จ๐ ๐ญ๐๐๐ก๐ง๐จ๐ฅ๐จ๐ ๐ฒ, ๐๐ฉ๐ฉ๐ฅ๐ข๐๐๐ญ๐ข๐จ๐ง, ๐ซ๐๐ง๐ ๐, ๐ฏ๐๐ก๐ข๐๐ฅ๐ ๐ญ๐ฒ๐ฉ๐, ๐๐ง๐ ๐ซ๐๐ ๐ข๐จ๐ง.
๐๐๐ฌ๐๐ ๐จ๐ง ๐๐ฉ๐ฉ๐ฅ๐ข๐๐๐ญ๐ข๐จ๐ง, the semi-autonomous vehicle segment held the largest share in 2020, accounting for around two-thirds of the market. However, the autonomous vehicle segment is estimated to register the highest CAGR of 32.7% during the forecast period.
๐๐ง ๐ญ๐ก๐ ๐๐๐ฌ๐ข๐ฌ ๐จ๐ ๐ญ๐๐๐ก๐ง๐จ๐ฅ๐จ๐ ๐ฒ, the solid-state LiDAR segment dominated the market in terms of revenue in 2020, contributing to nearly third-fourths of the market. However, the mechanical LiDAR segment is projected to portray the highest CAGR of 32.6% from 2021 to 2028.
๐๐๐ฌ๐๐ ๐จ๐ง ๐ซ๐๐ง๐ ๐, the short & mid-range segment held the largest share in 2020, accounting for more than two-thirds of the market. However, the long-range segment is estimated to register the highest CAGR of 35.8% during the forecast period.
๐๐ง ๐ญ๐ก๐ ๐๐๐ฌ๐ข๐ฌ ๐จ๐ ๐ฏ๐๐ก๐ข๐๐ฅ๐ ๐ญ๐ฒ๐ฉ๐, the internal combustion engine segment held the largest share in 2020, contributing to more than 88% of the total market revenue. However, the electric & hybrid segment is anticipated to register the highest CAGR of 40.1% during the forecast period.
The global automotive LiDAR market is analyzed across several regions such as North America, Europe, Asia-Pacific, and LAMEA. The market across North America held the lion's share in 2020, accounting for nearly two-fifths of the market. However, the market across Asia-Pacific is expected to register the highest CAGR of 34.4% from 2021 to 2028.
๐ฐ ๐๐ซ๐จ๐๐ฎ๐ซ๐ ๐๐จ๐ฆ๐ฉ๐ฅ๐๐ญ๐ ๐๐๐ฌ๐๐๐ซ๐๐ก ๐๐๐ฉ๐จ๐ซ๐ญ ๐๐จ๐ฐ: https://www.alliedmarketresearch.com/automotive-lidar-market/purchase-options
๐๐๐ฒ ๐๐ฅ๐๐ฒ๐๐ซ๐ฌ:
First Sensor AG,
Continental AG,
Innoviz Technologies Ltd,
Ibeo Automotive Systems GmbH,
Luminar Technologies,
LeddarTech,
Robert Bosch GmbH,
Ouster, Inc.,
Valeo
Velodyne LiDAR, Inc.
Factors such as increase in developments of semi-autonomous & autonomous vehicle, rise in emphasis from the governments for ADAS incorporated vehicles, and surge in investments & funding in LiDAR startups are expected to drive the market growth. However, high cost of LiDAR system and environmental constraints & optical vulnerability pose a challenge for use of LiDAR hinder the market growth.
๐๐ซ๐จ๐ฐ๐ฌ๐ ๐๐จ๐ซ๐ ๐๐ซ๐๐ง๐๐ข๐ง๐ ๐๐๐ฉ๐จ๐ซ๐ญ๐ฌ
https://www.alliedmarketresearch.com/automotive-transceivers-market - Automotive Transceivers Market Size, Share, Competitive Landscape and Trend Analysis Report, by Protocol, Application and Vehicle Type : Global Opportunity Analysis and Industry Forecast, 2018-2025
https://www.alliedmarketresearch.com/automotive-hypervisor-market-A11740 - Automotive Hypervisor Market Size, Share, Competitive Landscape and Trend Analysis Report, by Vehicle Type, Type, Level of Automation and Vehicle Class : Global Opportunity Analysis and Industry Forecast, 2021-2030
https://www.alliedmarketresearch.com/automotive-power-electronics-market - Automotive Power Electronics Market Size, Share, Competitive Landscape and Trend Analysis Report, by Device, by Application, by Drive Type : Global Opportunity Analysis and Industry Forecast, 2023-2032
๐๐จ๐ง๐ญ๐๐๐ญ:
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๐๐๐จ๐ฎ๐ญ ๐ฎ๐ฌ :
Allied Market Research (AMR) is a full-service market research and business-consulting wing of Allied Analytics LLP based in Wilmington, Delaware. Allied Market Research provides global enterprises as well as medium and small businesses with unmatched quality of "Market Research Reports" and "Business Intelligence Solutions." AMR has a targeted view to provide business insights and consulting to assist its clients to make strategic business decisions and achieve sustainable growth in their respective market domain.
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